Overview

This volume describes how to conceptualize, perform, and critique traditional generalized linear models (GLMs) from a Bayesian perspective and how to use modern computational methods to summarize inferences using simulation. Introducing dynamic modeling for GLMs and containing over 1000 references and equations, Generalized Linear Models considers parametric and semiparametric approaches to overdispersed GLMs, presents methods of analyzing correlated binary data using latent variables. It also proposes a semiparametric method to model link functions for binary response data, and identifies areas of important future research and new applications of GLMs.

ISBN-13

9780367398606

ISBN-10

0367398605

Weight

1.60 Pounds

Dimensions

6.85 x 1.00 x 9.69 In

List Price

$74.95

Edition

1st Edition

Format

Paperback

Language

English

Pages

444 pages

Publisher

CRC Press

Published On

2019-11-01



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